A wireless sensor network consists of autonomous devices able to collect various data from the area that surrounds them. However, the resources associated with sensors are limited and, thus, in order to guarantee a longer life of all the network components, it is necessary to adopt energysavings methods. This paper, considering that the transmission phase is the main cause of energy dissipation, presents an approach aimed to save energy by capturing and aggregating signals instead of sending them in raw form. Anyway, aggregation should not imply the loss of useful data. For this reason, information about possible outliers is preserved and the aggregated values have to satisfy data quality (i.e., accuracy, precision, and timeliness) requirements. In order to show the correctness and validity of the proposed method, it has been tested on a real case study and its performance has been compared with two other consolidated approaches.

Experiments and analysis of quality andEnergy-aware data aggregation approaches inWSNs

CAPPIELLO, CINZIA;SCHREIBER, FABIO ALBERTO
2012-01-01

Abstract

A wireless sensor network consists of autonomous devices able to collect various data from the area that surrounds them. However, the resources associated with sensors are limited and, thus, in order to guarantee a longer life of all the network components, it is necessary to adopt energysavings methods. This paper, considering that the transmission phase is the main cause of energy dissipation, presents an approach aimed to save energy by capturing and aggregating signals instead of sending them in raw form. Anyway, aggregation should not imply the loss of useful data. For this reason, information about possible outliers is preserved and the aggregated values have to satisfy data quality (i.e., accuracy, precision, and timeliness) requirements. In order to show the correctness and validity of the proposed method, it has been tested on a real case study and its performance has been compared with two other consolidated approaches.
2012
Aggregation algorithms; data stream; Energy-awareness; WSN
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/676558
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